Speakers and Program Committee
Directory
First name |
Last name | Short title |
|---|---|---|
| Yevgeni | Litvin | Tech Lead @Uber |
| Wes | Reisz | Software/Technical Advisor C4Media & QCon Chair, previous Architect @HPE |
| Uri | Silbershtein | Senior Cloud & Big Data Developer @PayPal |
| Sravya | Tirukkovalur | Senior Machine Learning Engineer @Adobe |
| Sid | Anand | Chief Data Engineer @PayPal |
| Sean | Taylor | Core Statistics Team @Facebook |
| Roland | Meertens | Machine Learning Engineer @Autonomous Intelligent Driving |
| Prabhat | Data and Analytics Group Lead @NERSC | |
| Peter | Schafhalter | Research Assistant @ucbrise |
| Pete | Warden | Technical Lead of TensorFlow Mobile @Google |
| Nischal | Harohalli Padmanabha | VP of Engineering and Data Science at Omnius |
| Mike | Lee Williams | Research engineer @Cloudera Fast Forward Labs |
| Megan | Cartwright | Director of Data Science @ThirdLove |
| Malay | Haldar | Machine Learning Engineer @Airbnb |
| Louise | Poubel | Software Engineer @OpenRoboticsOrg |
| Keunwoo | Choi | Research Scientist @Spotify |
| Katharine | Jarmul | Co-Founder of KIProtect |
| Juliet | Hougland | Data Platform Engineering Manager @StitchFix |
| Josh | Wills | Software Engineer, Search, Learning, and Intelligence @SlackHQ |
| Jendrik | Jördening | Data Scientist @Nooxit |
| Gwen | Shapira | Principal Data Architect @Confluent, PMC Member @Kafka, & Committer Apache Sqoop |
| Guy | Gerson-Golan | Big Data Developer @PayPal |
| Chintan | Turakhia | Engineering Manager @Uber |
| Charles | Humble | Editor-in-chief, InfoQ.com |
2019 Tracks
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Groking Timeseries & Sequential Data
Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.
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Deep Learning in Practice
Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.
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AI Meets the Physical World
Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.
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Papers in Production: Modern CS in the Real World
Groundbreaking papers make real-world impact.
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Solving Software Engineering Problems with Machine Learning
Interesting machine learning use cases changing how we develop software today, including planned topics touching on infrastructure optimization, developer experience, security, and more.
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Predictive Architectures in the Real World
Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.